docs/structure.md

🏗️ Project Structure

AI-Checker/
│
├── app.py                  # Main FastAPI entry point
├── config.py               # Configuration settings
├── Dockerfile              # Docker build script
├── Procfile                # Deployment entry for platforms like Heroku/Railway
├── requirements.txt        # Python dependency list
├── README.md               # Main project overview 📘
│
├── features/               # Core AI content detection modules
│   ├── image_classifier/           # Classifies AI vs Real images
│   │   ├── controller.py
│   │   ├── model_loader.py
│   │   └── preprocess.py
│   ├── image_edit_detector/       # Detects tampered or edited images
│   ├── nepali_text_classifier/    # Classifies Nepali text as AI or Human
│   │   ├── controller.py
│   │   ├── inferencer.py
│   │   ├── model_loader.py
│   │   └── preprocess.py
│   └── text_classifier/           # Classifies English text as AI or Human
│       ├── controller.py
│       ├── inferencer.py
│       ├── model_loader.py
│       └── preprocess.py
│
├── docs/                   # Internal documentation and API references
│   ├── api_endpoints.md
│   ├── deployment.md
│   ├── detector/
│   │   ├── ELA.md
│   │   ├── fft.md
│   │   ├── meta.md
│   │   └── note-for-backend.md
│   ├── features/
│   │   ├── image_classifier.md
│   │   ├── nepali_text_classifier.md
│   │   └── text_classifier.md
│   ├── functions.md
│   ├── nestjs_integration.md
│   ├── security.md
│   ├── setup.md
│   └── structure.md
│
├── IMG_Models/             # Stored model weights
│   └── latest-my_cnn_model.h5
│
├── notebooks/              # Experimental/debug Jupyter notebooks
├── static/                 # Static files (e.g., UI assets, test inputs)
└── test.md                 # Test usage notes

🌟 Key Files and Their Roles

• app.py: Entry point initializing FastAPI app and routes.
• Procfile: Tells Railway (or similar platforms) how to run the program.
• requirements.txt: Tracks all Python dependencies for the project.
• __init__.py: Package initializer for the root module and submodules.
• features/text_classifier/
  • controller.py: Handles logic between routes and the model.
  • inferencer.py: Runs inference and returns predictions as well as file system utilities.
• features/NP/
  • controller.py: Handles logic between routes and the model.
  • inferencer.py: Runs inference and returns predictions as well as file system utilities.
  • model_loader.py: Loads the ML model and tokenizer.
  • preprocess.py: Prepares input text for the model.
  • routes.py: Defines API routes for text classification.

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